DEVELOPMENT... OpenML
Run
44821

Run 44821

Task 4450 (Supervised Classification) mv Uploaded 30-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9996
Per class
Build CPU time
480.4777
Build memory
1376359465.2896
F measure
0.9978
Per class
Kappa
0.9955
KB relative information score
405775.6932
Mean absolute error
0.0022
Mean prior absolute error
0.4813
Number of instances
407680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9978
Per class
Predictive accuracy
0.9978
Prior entropy
0.9729
Recall
0.9978
Per class
Relative absolute error
0.0046
Root mean prior squared error
0.4906
Root mean squared error
0.0449
Root relative squared error
0.0914
SciMark benchmark
945.2151